Oral surgery simulated teaching; 3D model printing

Shepherd, Simon; Macluskey, Michaelina; Napier, A.; Rw, Jackson

doi:10.1111/ors.12228

Cited by 13 publications

(11 citation statements)

References 29 publications

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“…Only articular parts of hyoid bones were not differentiated from bony structures because of the imaging system quality. It was also stated that it is practicable to different operative approaches or training models by re-using or modifying recorded data (10).…”

Section: Discussionmentioning

confidence: 99%

The applicability and efficiency of 3 dimensional printing models of hyoid bone in comparative veterinary anatomy education

Bakici

Akgün

Oto

2019

Veteriner Hekimler Derneği Dergisi

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Additive manufacturing, also known as three-dimensional (3D) printing, is bringing the technological breakthrough in many areas, such as engineering, art, education, and medicine. Two separate themes are described in this study. The first theme is to present a graphical 3D modeling approach of different hyoid bones. The second theme involves making 3D printing models of these bony structures and compared with original forms. Different hyoid bones (horse, cattle, dog, cat, and pig) were used to produce 3D printing models. Hyoid bones were scanned with the multidetector computed tomography (MD CT). Two-dimensional (2D) images were stored in Digital Imaging and Communications in Medicine (DICOM) and segmentation and post-processing of these images were performed. 3D reconstructed images of the hyoid bones were acquired with 3D Slicer software. 3D models of the hyoid bones were recorded in stereolithography (STL) file format on the computer. These STL images were then used to produce physical 3D printing models with the Fused Deposition Modelling (FDM) printer and polylactic acid (PLA) filament. It was known that hyoid bones are very thin and fragile. For this reason, 3D printed models could be used for these characteristic bones. These 3D models were seen useful for anatomy education and hard to break compared to original bones. It was seen that it could be rapidly produced by 3D printing technology for anatomy education in practical lessons. This study shows that durable, real-like bone specimens could be produced with minimal equipment and manpower. It was observed that both produced 3D models and 3D reconstructed images can be used during veterinary anatomy education.How to cite this article: Bakıcı C, Akgün RO, Oto Ç: The applicability and efficiency of 3 dimensional printing models of hyoid bone in comparative veterinary anatomy education.

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Section: Discussionmentioning

confidence: 99%

The applicability and efficiency of 3 dimensional printing models of hyoid bone in comparative veterinary anatomy education

Bakici

Akgün

Oto

2019

Veteriner Hekimler Derneği Dergisi

View full text Add to dashboard Cite

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“…It is difficult to judge the pass/fail of an error that differs depending on the software package obtained in this study because there is no correct answer. Considering the spatial resolution of MDCT, it can be assumed that this kind of error is acceptable in fabricating 3D models for clinical use in oral and maxillofacial surgery [17][18][19].…”

Section: Characteristics Of Dicom Segmentation and Stl Creation Softwarementioning

confidence: 99%

DICOM segmentation and STL creation for 3D Printing: A Process and Software Package Comparison for Osseous Anatomy

Kamio

Suzuki²,

ASAUMI³

et al. 2020

Preprint

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Background: Extracting and three-dimensional (3D) printing an organ in a region of interest in DICOM images typically calls for segmentation in support of 3D printing as a first step. The DICOM images are not exported to STL data immediately, segmentation masks are exported to STL models. After primary and secondary processing, including noise removal and hole correction, the STL data can be 3D printed. The quality of the 3D model is directly related to the quality of the STL data. This study focuses and reports on DICOM to STL segmentation performance for nine software packages.Methods: Multi-detector row CT scanning was performed on a dry human mandible with two 10-mmdiameter bearing balls as a phantom. The DICOM images file was then segmented and exported to a STL file using nine different commercial/open-source software packages. Once the STL models were created, the data (file) properties and the size and volume of each were measured and differences across the software packages were noted. Additionally, to evaluate differences between the shapes of the STL models by software package, each pair of STL models was superimposed, with observed differences between their shapes characterized as shape error.Results: The data (file) size of the STL file and the number of triangles that constitute each STL model were different across all software packages, there was no statistically significant difference were found across software packages. The created ball STL model expanded in the X-, Y-, and Z-axis directions, with the length in the Z-axis direction (body axis direction) being slightly longer than other directions. There were no significant differences in shape error across software packages for the mandible STL model. Conclusions:The different characteristics of each software package were noticeable, such as different effects in the thin cortical bone area, likely due to the partial volume effect, which may reflect differences in image binarization algorithms. Although the shape of the STL model differs slightly depending on the software, our results indicate that shape error in 3D printing for clinical use in the operation of osseous structures. BackgroundDigital Imaging and COmmunications in Medicine (DICOM) is the leading standard around the world Author informationAffiliations

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“…It is di cult to judge the pass/fail of an error that differs depending on the software package obtained in this study because there is no correct answer. Considering the spatial resolution of MDCT, it can be assumed that this kind of error is acceptable in fabricating 3D models for clinical use in oral and maxillofacial surgery [18][19][20]. A more thorough analysis of the shape error by region of the mandible could be considered to allow quanti cation of some of the qualitative ndings presented.…”

Section: Characteristics Of Dicom Segmentation and Stl Creation Softwarementioning

confidence: 99%

DICOM segmentation and STL creation for 3D Printing: A Process and Software Package Comparison for Osseous Anatomy

Kamio

Suzuki²,

Asaumi³

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Extracting and three-dimensional (3D) printing an organ in a region of interest in DICOM images typically calls for segmentation as a first step in support of 3D printing. The DICOM images are not exported to STL data immediately, but segmentation masks are exported to STL models. After primary and secondary processing, including noise removal and hole correction, the STL data can be 3D printed. The quality of the 3D model is directly related to the quality of the STL data. This study focuses and reports on the DICOM to STL segmentation performance for nine software packages. Methods: Multidetector row CT scanning was performed on a dry human mandible with two 10-mm-diameter bearing balls as a phantom. The DICOM image file was then segmented and exported to an STL file using nine different commercial/open-source software packages. Once the STL models were created, the data (file) properties and the size and volume of each file were measured, and differences across the software packages were noted. Additionally, to evaluate differences between the shapes of the STL models by software package, each pair of STL models was superimposed, with the observed differences between their shapes characterized as the shape error. Results: The data (file) size of the STL file and the number of triangles that constitute each STL model were different across all software packages, but no statistically significant differences were found across software packages. The created ball STL model expanded in the X-, Y-, and Z-axis directions, with the length in the Z-axis direction (body axis direction) being slightly longer than that in the other directions. The mean shape error between software packages of the mandibular STL model was 0.11 mm, but there was no statistically significant difference between them. Conclusions: Our results revealed that there are some differences between the software packages that perform the segmentation and STL creation of the DICOM image data. In particular, the features of each software package appeared in the fine and thin areas of the osseous structures. When using these software packages, it is necessary to understand the characteristics of each.

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Oral surgery simulated teaching; 3D model printing

Cited by 13 publications

References 29 publications

The applicability and efficiency of 3 dimensional printing models of hyoid bone in comparative veterinary anatomy education

The applicability and efficiency of 3 dimensional printing models of hyoid bone in comparative veterinary anatomy education

DICOM segmentation and STL creation for 3D Printing: A Process and Software Package Comparison for Osseous Anatomy

DICOM segmentation and STL creation for 3D Printing: A Process and Software Package Comparison for Osseous Anatomy

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